Visual Analysis of Humans

1. Front Matter

   Pages I-XXI

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2. Detection and Tracking

   1. Front Matter

      Pages 1-1

      PDF

   2. Is There Anybody Out There?

      • Thomas B. Moeslund

      Pages 3-9

   3. Beyond the Static Camera: Issues and Trends in Active Vision

      • Murad Al Haj, Carles Fernández, Zhanwu Xiong, Ivan Huerta, Jordi Gonzàlez, Xavier Roca

      Pages 11-30

   4. Figure-Ground Segmentation—Pixel-Based

      • Ahmed Elgammal

      Pages 31-51

   5. Figure-Ground Segmentation—Object-Based

      • Bastian Leibe

      Pages 53-70

   6. Face Detection

      • Raghuraman Gopalan, William R. Schwartz, Rama Chellappa, Ankur Srivastava

      Pages 71-90

   7. Wide Area Tracking in Single and Multiple Views

      • Bi Song, Ricky J. Sethi, Amit K. Roy-Chowdhury

      Pages 91-107

   8. Benchmark Datasets for Detection and Tracking

      • Anna-Louise Ellis, James Ferryman

      Pages 109-128

3. Pose Estimation

   1. Front Matter

      Pages 129-129

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   2. Articulated Pose Estimation and Tracking: Introduction

      • Leonid Sigal

      Pages 131-137

   3. Model-Based Pose Estimation

      • Gerard Pons-Moll, Bodo Rosenhahn

      Pages 139-170

   4. Motion Models for People Tracking

      • David J. Fleet

      Pages 171-198

   5. Part-Based Models for Finding People and Estimating Their Pose

      • Deva Ramanan

      Pages 199-223

   6. Feature-Based Pose Estimation

      • Cristian Sminchisescu, Liefeng Bo, Catalin Ionescu, Atul Kanaujia

      Pages 225-251

   7. Benchmark Datasets for Pose Estimation and Tracking

      • Mykhaylo Andriluka, Leonid Sigal, Michael J. Black

      Pages 253-275

4. Recognition

   1. Front Matter

      Pages 277-277

      PDF

   2. On Human Action

      • Aaron Bobick, Volker Krüger

      Pages 279-288

   3. Modeling and Recognition of Complex Human Activities

      • Nandita M. Nayak, Ricky J. Sethi, Bi Song, Amit K. Roy-Chowdhury

      Pages 289-309

   4. Action Recognition Using Topic Models

      • Xiaogang Wang

      Pages 311-332

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. Features: with a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.

• Artificial intelligence and robotics
• Behavior modeling
• Computer graphics and animation
• Computer vision
• Human motion recognition
• Human-computer interaction
• Image and video analysis
• Machine learning

From the reviews:

“This book is a collection of 30 scientific papers organized in four parts. The topics that are reviewed in this book are mainly people and face detection, pose estimation, tracking and activity recognition. The book covers a broad domain making the book appealing to not only graduate students in the computer vision field, but also scholars and researchers.” (Norberto Goussies, IAPR Newsletter, Vol. 35 (3), July, 2013)

• Department of Media Technology, Aalborg University, Aalborg, Denmark

  Thomas B. Moeslund

• Centre for Vision, Speech & Signal Proc., University of Surrey, Guildford, United Kingdom

  Adrian Hilton

• Copenhagen Institute of Technology, Aalborg University, Ballerup, Denmark

  Volker Krüger

• Disney Research, Pittsburgh, USA

  Leonid Sigal

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